EY's people in more than 150 countries are committed to operating with integrity, quality and professionalism in the provision of audit, tax, transaction and advisory services. We strive to help all of our people achieve their professional and personal goals through an inclusive environment that values everyone's contributions, appreciates diversity of thought, fosters growth, and provides continuous opportunities for development. Recognized as one of Canada's top employers, EY continually strives to be a great place to work.
Our IT Advisory Analytics practice works collaboratively with our clients to enhance their ability to use and interpret data, and develop their own enhanced information management capabilities to support better decision making, along with regulatory compliance within their business. Our clients need the vision to articulate the big picture and the precision to see the smallest of details.
Information and intelligence are the assets which enable this, and our Analytics practice provides innovative approaches to unlocking this information, solving many of our clients' biggest challenges. We are working to integrate this capability into all Advisory service offerings and assists clients to leverage data as an asset throughout its business processes.
Our IT Advisory Analytics practice provides expertise and delivery in four core areas of competency
• Data Management and Integration providing the foundational layers for enterprise data accessibility, covering data sourcing and integration, data warehouse and modelling, master data management and data rationalisation and migration. Design and implementation ETL solutions using one of the leading ETL packages (e.g., Informatica, Ab Initio, DataStage). • Data Quality and Governance developing an organisation that treats data as a critical enterprise asset and sources quality data for business use and regulatory compliance. This includes examining the fitness for purpose of data for specific business needs, data remediation, and the strategy, roles, policies and processes to effectively manage data through its lifecycle; • Reporting design, architecture and implementation of enterprise reporting solutions. This includes the end-to-end reporting lifecycle across advisory and strategy, identifying compliance reporting trouble spots and delivering achievable roadmaps, to vendor selection, design and implementation. Demonstrated experience and knowledge of at least one of the leading Business Intelligence Packages (e.g., Cognos, Business Objects, MicroStrategy, Tableau, SPSS, SAS); and • Analytics covers operational analytics, predictive analytics, industry models and analytics enablement, and provides actionable enterprise insight and delivers value from an enterprises data. The area of Analytics and Data Science is expected to be a key driver for growth in the coming year.
In order to be successful, you will apply your knowledge and experience to support the delivery of key projects, build valuable relationships both within EY and with clients, and develop strong capabilities through both formal training and working with senior mentors and talented colleagues across different functions.
We succeed when we combine high performing team members from a variety of backgrounds. We are therefore looking for individuals with industry, consulting, delivery or vendor backgrounds. We will provide the required support to transition into the team if this is your first step into consultancy.
We are looking for someone to:
• Lead event stream analytics initiative and create the foundation for event data collection at EY Canada. • Design and build highly scalable and responsive platform to collect the data across all the brands and all devices (mobile apps, desktop …) • Work with teams across EY to drive the new platform adoption.
We are looking for someone with:
• 3-4 years of experience building and shipping highly scalable clickstream data pipelines and analytics systems on distributed data systems and cloud platforms (AWS/Azure/GCP) • Experience with Java, Scala, Python etc. • Solid experience in streaming technologies like Kafka or Spark Streaming. • Experience building batch, real-time and streaming analytics pipelines with data from event data streams, NoSQL and APIs. • Experience with batch & stream processing technologies such Spark, KStreams, Samza etc. • CS Degree or equivalent experience
If you think you can meet the challenges of a focused consulting organisation, understand how to grow and lead in a large practice and work in the most complex of sectors our Analytics team is looking forward to hearing from you.
EY is committed to inclusiveness, equity and accessibility. We encourage all qualified candidates to apply.